Results 91 to 100 of about 602,867 (155)
In this study, a collaborative radar selection and transmit resource allocation strategy is proposed for multitarget tracking applications in multiple distributed phased array radar networks with imperfect detection performance.
Chenguang SHI +4 more
doaj +1 more source
Spatial Clutter Intensity Estimation for Multitarget Tracking
In this thesis, the problem of estimating the clutter spatial intensity function for the multitarget tracking algorithms has been considered. In many scenarios, after the signal detection process, measurement points provided by the sensor (e.g., sonar ...
CHEN, XIN
core
To realize multitarget trajectory tracking under non-Gaussian heavy-tailed noise, we propose a Gaussian–Student t-mixture distribution-based trajectory cardinality probability hypothesis density filter (GSTM-TCPHD).
Shaoming Wei +6 more
doaj +1 more source
Tracking interacting targets in multi-modal sensors [PDF]
PhDObject tracking is one of the fundamental tasks in various applications such as surveillance, sports, video conferencing and activity recognition. Factors such as occlusions, illumination changes and limited field of observance of the sensor make ...
Taj, Murtaza
core
Improved YOLOX-DeepSORT for Multitarget Detection and Tracking of Automated Port RTG
Rubber tire gantry (RTG) plays a pivotal role in facilitating efficient container handling within port operations. Conventional RTG, highly depending on human operations, is inefficient, labor-intensive, and also poses safety issues in adverse ...
ZHENGTAO YU +3 more
doaj +1 more source
Group object structure and state estimation with evolving networks and Monte Carlo methods. [PDF]
This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems from learning the network structure for the groups.
Gning, Amadou +4 more
core
Information measures in distributed multitarget tracking.
In this paper, we consider the role that different information measures play in the problem of decentralised multi-target tracking. In many sensor networks, it is not possible to maintain the full joint probability distribution and so suboptimal algorithms must be used.
Uney, Murat; id_orcid 0000-0001-6561-0406 +2 more
openaire +2 more sources
Multisensor Multitarget Mixture Reduction Algorithms for Tracking
A single-sensor single-target Mixture Reduction (MR) data association algorithm is extended for use in multisensor multitarget tracking situations. MR is extended for tracking an arbitrary number of targets using an arbitrary number of sensors under the ...
Lucy Y. Pao
core
Nonlinear Filtering Algorithms for Multitarget Tracking
Tracking multiple targets with uncertain target dynamics is a difficult problem, especially with nonlinear state and/or measurement equations. Random finite set theory provides a rigorous foundation to multitarget tracking problems.
Punithakumar, K
core
The Multitarget/Multisensor Tracking Problem
This report briefly reproduces the derivation of this formulation. No attempt is made to solve the multitarget/multisensor tracking and multisensor data fusion problems here.
Huub De Waard, Er Toet, Alexander Toet
core

